docs: def ethnicities_clean():
    """ Get dictionary of unformatted ethnicity types mapped to clean corresponding ethnicity strings """
    eths_clean = {}
  
    fname = pkg_resources.resource_filename(__name__, 'resources/Ethnicity_Groups.csv')
    with open(fname, 'rU') as csvfile:
      reader = csv.reader(csvfile, delimiter = ',')
      first = []
      for row in reader:
        if first:
          for i in range(len(first)):
            if first[i] and row[i]:
              eths_clean[first[i]] = row[i]
          first = []
        else:
          first = deepcopy(row)
    return eths_clean